The bernoulli function in the hana_ml.algorithms.pal.random module draws samples from a Bernoulli distribution, with parameters for the database connection object, success fraction, number of random data to be generated, seed for the random number generator, and the proportion of available threads to use.
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Here is the executable code template based on the provided help doc:

```python
from hana_ml.algorithms.pal.random import bernoulli
from hana_ml import dataframe as df

# Create a connection context
cc = df.ConnectionContext(address='<address>', port='<port>', user='<user>', password='<password>')

# Set parameters
p = 0.5
num_random = 10
seed = None
thread_ratio = None

# Draw samples from a Bernoulli distribution
res = bernoulli(conn_context=cc, p=p, num_random=num_random, seed=seed, thread_ratio=thread_ratio)

# Collect and print the result
print(res.collect())
```

Please replace `<address>`, `<port>`, `<user>`, and `<password>` with your actual HANA database connection details.